Chinese character recognition for LPR application

Chen, Huoliang; Hu, Bo; Yang, Xing; Yu, Min; Chen, Jie

doi:10.1016/j.ijleo.2014.05.042

Cited by 11 publications

(3 citation statements)

References 14 publications

(16 reference statements)

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“…e system successfully read the text from TV screen and used in a functional verification system. Considering the Chinese character recognition, in the past, several researchers focused their attention on recognition of printed Chinese characters [22,23], handwritten Chinese characters [24,25], characters in the vehicle's license plates [26,27], and recognition of Chinese characters written in calligraphic styles [28].…”

Section: Related Workmentioning

confidence: 99%

MyOcrTool: Visualization System for Generating Associative Images of Chinese Characters in Smart Devices

Rai

2021

Complexity

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Majority of Chinese characters are pictographic characters with strong associative ability and when a character appears for Chinese readers, they usually associate with the objects, or actions related to the character immediately. Having this background, we propose a system to visualize the simplified Chinese characters, so that developing any skills of either reading or writing Chinese characters is not necessary. Considering the extensive use and application of mobile devices, automatic identification of Chinese characters and display of associative images are made possible in smart devices to facilitate quick overview of a Chinese text. This work is of practical significance considering the research and development of real-time Chinese text recognition, display of associative images and for such users who would like to visualize the text with only images. The proposed Chinese character recognition system and visualization tool is named as MyOcrTool and developed for Android platform. The application recognizes the Chinese characters through OCR engine, and uses the internal voice playback interface to realize the audio functions and display the visual images of Chinese characters in real-time.

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Section: Related Workmentioning

confidence: 99%

MyOcrTool: Visualization System for Generating Associative Images of Chinese Characters in Smart Devices

Rai

2021

Complexity

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“…One of the main components of ALPR is the automatic recognition of characters. Chen et al [29] proposed SIFT based features extraction and matching these features in order to recognize the Chinese characters. A template matching based LP characters’ recognition [30] has been proposed for Arabic characters, to recognize 27 alphanumeric characters (17 alphabets and 10 numeric) of fixed size 50×25.…”

Section: Related Workmentioning

confidence: 99%

Barrier Access Control Using Sensors Platform and Vehicle License Plate Characters Recognition

Ullah

Anwar

Shahzadi

et al. 2019

Sensors

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The paper proposes a sensors platform to control a barrier that is installed for vehicles entrance. This platform is automatized by image-based license plate recognition of the vehicle. However, in situations where standardized license plates are not used, such image-based recognition becomes non-trivial and challenging due to the variations in license plate background, fonts and deformations. The proposed method first detects the approaching vehicle via ultrasonic sensors and, at the same time, captures its image via a camera installed along with the barrier. From this image, the license plate is automatically extracted and further processed to segment the license plate characters. Finally, these characters are recognized with the help of a standard optical character recognition (OCR) pipeline. The evaluation of the proposed system shows an accuracy of 98% for license plates extraction, 96% for character segmentation and 93% for character recognition.

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“…The third level is the index level. There are different indices in the literature, such as license plate detection rate, character recognition rate, and overall performance [20,21]; localisation recall and precision [22,23]. The above indices are proposed to assess the algorithms in the literature, and cannot fully or accurately evaluate the system performance.…”

Section: Evaluation Protocolmentioning

confidence: 99%

Evaluation methodology for license plate recognition systems and experimental results

Zhao

2018

IET Intelligent Transport Systems

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Chinese character recognition for LPR application

Cited by 11 publications

References 14 publications

MyOcrTool: Visualization System for Generating Associative Images of Chinese Characters in Smart Devices

MyOcrTool: Visualization System for Generating Associative Images of Chinese Characters in Smart Devices

Barrier Access Control Using Sensors Platform and Vehicle License Plate Characters Recognition

Evaluation methodology for license plate recognition systems and experimental results

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